Big data analytics for satellite image processing and remote sensing:
"This book explores the difficulties and challenges that various fields have faced in implementing the technologies and applications. It addresses different aspects of using big data upon image processing for remote sensing and related topics and it explores the impact of such technologies on t...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book explores the difficulties and challenges that various fields have faced in implementing the technologies and applications. It addresses different aspects of using big data upon image processing for remote sensing and related topics and it explores the impact of such technologies on the applications in which this advanced technology is being implemented"-- |
| Beschreibung: | 20 PDFs (xix, 253 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522536444 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 024 | 7 | |a 10.4018/978-1-5225-3643-7 |2 doi | |
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| 082 | 7 | |a 621.36/7028557 |2 23 | |
| 245 | 0 | 0 | |a Big data analytics for satellite image processing and remote sensing |c P. Swarnalatha and Prabu Sevugan, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2018] | |
| 300 | |a 20 PDFs (xix, 253 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. New computational models for image remote sensing and big data -- Chapter 2. Big data computation model for landslide risk analysis using remote sensing data -- Chapter 3. Modified support vector machine algorithm to reduce misclassification and optimizing time complexity -- Chapter 4. An analysis of usage-induced big data -- Chapter 5. Glorified secure search schema over encrypted secure cloud storage with a hierarchical clustering computation -- Chapter 6. Research analysis of development pipelines in augmented and virtual reality technologies -- Chapter 7. Iterative mapreduce: i-MapReduce on medical dataset using Hadoop -- Chapter 8. Big data for satellite image processing: analytics, tools, modeling, and challenges -- Chapter 9. Big data processing: application of parallel processing technique to big data by using Mapreduce -- Chapter 10. Image processing CSE-4019 distinction between fake note and a real note. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book explores the difficulties and challenges that various fields have faced in implementing the technologies and applications. It addresses different aspects of using big data upon image processing for remote sensing and related topics and it explores the impact of such technologies on the applications in which this advanced technology is being implemented"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 02/21/2018). | ||
| 650 | 0 | |a Artificial satellites in remote sensing. | |
| 650 | 0 | |a Artificial satellites |x Optical observations |x Data processing. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Geospatial data. | |
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 700 | 1 | |a Sevugan, Prabu |d 1981- |e editor. | |
| 700 | 1 | |a Swarnalatha, P. |q (Purushotham) |d 1977- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2017019875 | |
| 776 | 0 | 8 | |i Print version: |z 1522536434 |z 9781522536437 |w (DLC) 2017019875 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3643-7 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00181223 |
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| author_facet | Sevugan, Prabu 1981- Swarnalatha, P. (Purushotham) 1977- |
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| contents | Chapter 1. New computational models for image remote sensing and big data -- Chapter 2. Big data computation model for landslide risk analysis using remote sensing data -- Chapter 3. Modified support vector machine algorithm to reduce misclassification and optimizing time complexity -- Chapter 4. An analysis of usage-induced big data -- Chapter 5. Glorified secure search schema over encrypted secure cloud storage with a hierarchical clustering computation -- Chapter 6. Research analysis of development pipelines in augmented and virtual reality technologies -- Chapter 7. Iterative mapreduce: i-MapReduce on medical dataset using Hadoop -- Chapter 8. Big data for satellite image processing: analytics, tools, modeling, and challenges -- Chapter 9. Big data processing: application of parallel processing technique to big data by using Mapreduce -- Chapter 10. Image processing CSE-4019 distinction between fake note and a real note. |
| ctrlnum | (CaBNVSL)slc19613587 (OCoLC)1025267282 |
| dewey-full | 621.36/7028557 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.36/7028557 |
| dewey-search | 621.36/7028557 |
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| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00181223 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:52Z |
| institution | BVB |
| isbn | 9781522536444 |
| language | English |
| oclc_num | 1025267282 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 20 PDFs (xix, 253 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Big data analytics for satellite image processing and remote sensing P. Swarnalatha and Prabu Sevugan, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2018] 20 PDFs (xix, 253 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. New computational models for image remote sensing and big data -- Chapter 2. Big data computation model for landslide risk analysis using remote sensing data -- Chapter 3. Modified support vector machine algorithm to reduce misclassification and optimizing time complexity -- Chapter 4. An analysis of usage-induced big data -- Chapter 5. Glorified secure search schema over encrypted secure cloud storage with a hierarchical clustering computation -- Chapter 6. Research analysis of development pipelines in augmented and virtual reality technologies -- Chapter 7. Iterative mapreduce: i-MapReduce on medical dataset using Hadoop -- Chapter 8. Big data for satellite image processing: analytics, tools, modeling, and challenges -- Chapter 9. Big data processing: application of parallel processing technique to big data by using Mapreduce -- Chapter 10. Image processing CSE-4019 distinction between fake note and a real note. Restricted to subscribers or individual electronic text purchasers. "This book explores the difficulties and challenges that various fields have faced in implementing the technologies and applications. It addresses different aspects of using big data upon image processing for remote sensing and related topics and it explores the impact of such technologies on the applications in which this advanced technology is being implemented"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 02/21/2018). Artificial satellites in remote sensing. Artificial satellites Optical observations Data processing. Big data. Geospatial data. Image processing Digital techniques. Sevugan, Prabu 1981- editor. Swarnalatha, P. (Purushotham) 1977- editor. IGI Global, publisher. (Original) (DLC)2017019875 Print version: 1522536434 9781522536437 (DLC) 2017019875 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3643-7 Volltext |
| spellingShingle | Big data analytics for satellite image processing and remote sensing Chapter 1. New computational models for image remote sensing and big data -- Chapter 2. Big data computation model for landslide risk analysis using remote sensing data -- Chapter 3. Modified support vector machine algorithm to reduce misclassification and optimizing time complexity -- Chapter 4. An analysis of usage-induced big data -- Chapter 5. Glorified secure search schema over encrypted secure cloud storage with a hierarchical clustering computation -- Chapter 6. Research analysis of development pipelines in augmented and virtual reality technologies -- Chapter 7. Iterative mapreduce: i-MapReduce on medical dataset using Hadoop -- Chapter 8. Big data for satellite image processing: analytics, tools, modeling, and challenges -- Chapter 9. Big data processing: application of parallel processing technique to big data by using Mapreduce -- Chapter 10. Image processing CSE-4019 distinction between fake note and a real note. Artificial satellites in remote sensing. Artificial satellites Optical observations Data processing. Big data. Geospatial data. Image processing Digital techniques. |
| title | Big data analytics for satellite image processing and remote sensing |
| title_auth | Big data analytics for satellite image processing and remote sensing |
| title_exact_search | Big data analytics for satellite image processing and remote sensing |
| title_full | Big data analytics for satellite image processing and remote sensing P. Swarnalatha and Prabu Sevugan, editors. |
| title_fullStr | Big data analytics for satellite image processing and remote sensing P. Swarnalatha and Prabu Sevugan, editors. |
| title_full_unstemmed | Big data analytics for satellite image processing and remote sensing P. Swarnalatha and Prabu Sevugan, editors. |
| title_short | Big data analytics for satellite image processing and remote sensing |
| title_sort | big data analytics for satellite image processing and remote sensing |
| topic | Artificial satellites in remote sensing. Artificial satellites Optical observations Data processing. Big data. Geospatial data. Image processing Digital techniques. |
| topic_facet | Artificial satellites in remote sensing. Artificial satellites Optical observations Data processing. Big data. Geospatial data. Image processing Digital techniques. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3643-7 |
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